Abstract: A set of vectors may be obtained. The vectors may be multi-dimensional vectors that are associated with and describe tokens from a first set of tokens from a corpus of sources. The description may be based in part on the relationship of the token to at least a portion of the remainder of the corpus. A set of sentiment scores may be obtained. The sentiment scores in the set of sentiment scores may describe a sentiment associated with a corresponding token that is described by a vector from the set of vectors. The set of vectors and the set of sentiment scores may be input into a pattern-recognizer pathway in a first neural network. A probability value of a potential future event may then be generated by the first neural network. The probability value may be based on the set of vectors and the set of sentiment scores.

Abstract: Systems and methods for customizing digital content based on consumer context data are disclosed. In embodiments, a computer-implemented method, comprises: determining, by a computing device, a goodness of fit of one or more digital content segments for a digital product based on asset success metrics indicating a trend in consumer consumption of content; identifying, by the computing device, a select digital content segment from the one or more digital content segments based on the goodness of fit; and incorporating, by the computing device, the select digital content segment into the digital product.

Abstract: Systems and methods for customizing digital content based on consumer context data are disclosed. In embodiments, a computer-implemented method, comprises: determining, by a computing device, a goodness of fit of one or more digital content segments for a digital product based on asset success metrics indicating a trend in consumer consumption of content; identifying, by the computing device, a select digital content segment from the one or more digital content segments based on the goodness of fit; and incorporating, by the computing device, the select digital content segment into the digital product.

Abstract: A set of vectors may be obtained. The vectors may be multi-dimensional vectors that are associated with and describe tokens from a first set of tokens from a corpus of sources. The description may be based in part on the relationship of the token to at least a portion of the remainder of the corpus. A set of sentiment scores may be obtained. The sentiment scores in the set of sentiment scores may describe a sentiment associated with a corresponding token that is described by a vector from the set of vectors. The set of vectors and the set of sentiment scores may be input into a pattern-recognizer pathway in a first neural network. A probability value of a potential future event may then be generated by the first neural network. The probability value may be based on the set of vectors and the set of sentiment scores.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: providing social media feed cognizant lighthouse display service for communicating to spectators, information in regard to social response to an event, the lighthouse display service by use of a lighthouse structure further including a private display for subscribed data for an accessibility-layered communication service as encoded with a private key to make inaccessible to the spectators but to be decoded on a user device with the private key.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: providing social media feed cognizant lighthouse display service for communicating to spectators, information in regard to social response to an event, the lighthouse display service by use of a lighthouse structure further including a private display for subscribed data for an accessibility-layered communication service as encoded with a private key to make inaccessible to the spectators but to be decoded on a user device with the private key.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: providing social media feed cognizant lighthouse display service for communicating to spectators, information in regard to social response to an event, the lighthouse display service by use of a lighthouse structure further including a private display for subscribed data for an accessibility-layered communication service as encoded with a private key to make inaccessible to the spectators but to be decoded on a user device with the private key.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: providing social media feed cognizant lighthouse display service for communicating to spectators, information in regard to social response to an event, the lighthouse display service further including a private display for subscribed event details as encoded with a key to make inaccessible to the spectators but to be decoded on a user device with the key.